Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Scalable training of L1-regularized log-linear models
Proceedings of the 24th international conference on Machine learning
Introduction to Information Retrieval
Introduction to Information Retrieval
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Beyond Microblogging: Conversation and Collaboration via Twitter
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 4th workshop on Information credibility
Conversational tagging in twitter
Proceedings of the 21st ACM conference on Hypertext and hypermedia
What's with the attitude?: identifying sentences with attitude in online discussions
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Sentiment knowledge discovery in twitter streaming data
DS'10 Proceedings of the 13th international conference on Discovery science
We know what @you #tag: does the dual role affect hashtag adoption?
Proceedings of the 21st international conference on World Wide Web
Finding and assessing social media information sources in the context of journalism
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic detection of rumor on Sina Weibo
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
Microblog credibility perceptions: comparing the USA and China
Proceedings of the 2013 conference on Computer supported cooperative work
She gets a sports car from our donation: rumor transmission in a Chinese microblogging community
Proceedings of the 2013 conference on Computer supported cooperative work
Epidemiological modeling of news and rumors on Twitter
Proceedings of the 7th Workshop on Social Network Mining and Analysis
Analysis of Microblog Rumors and Correction Texts for Disaster Situations
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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A rumor is commonly defined as a statement whose true value is unverifiable. Rumors may spread misinformation (false information) or disinformation (deliberately false information) on a network of people. Identifying rumors is crucial in online social media where large amounts of information are easily spread across a large network by sources with unverified authority. In this paper, we address the problem of rumor detection in microblogs and explore the effectiveness of 3 categories of features: content-based, network-based, and microblog-specific memes for correctly identifying rumors. Moreover, we show how these features are also effective in identifying disinformers, users who endorse a rumor and further help it to spread. We perform our experiments on more than 10,000 manually annotated tweets collected from Twitter and show how our retrieval model achieves more than 0.95 in Mean Average Precision (MAP). Finally, we believe that our dataset is the first large-scale dataset on rumor detection. It can open new dimensions in analyzing online misinformation and other aspects of microblog conversations.